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Google Maps Geocoding MCP Server

by kevinwuhoo

geocode_reverse

Convert geographic coordinates to human-readable addresses using Google Maps Geocoding API. Input latitude/longitude to get location details with language and filtering options.

Instructions

Convert geographic coordinates (latitude/longitude) to a human-readable address using Google Maps Geocoding API.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
latlngYesLatitude,longitude coordinates. Example: "40.714224,-73.961452"
languageNoLanguage for results (e.g., "en", "es")
regionNoRegion bias (e.g., "us", "uk")
result_typeNoFilter by result types (e.g., ["street_address"])
location_typeNoFilter by location precision (e.g., ["ROOFTOP"])
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries full burden. It mentions the external API but does not disclose behavioral traits such as rate limits, authentication needs, error handling, or response format. This leaves significant gaps for a tool interacting with an external service.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence with zero waste. It is front-loaded with the core purpose and uses clear, direct language without redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the complexity of an external API tool with no annotations and no output schema, the description is incomplete. It lacks details on behavioral aspects (e.g., rate limits, errors) and output format, which are critical for proper tool invocation and integration.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema fully documents all 5 parameters. The description adds no additional parameter semantics beyond what the schema provides, such as explaining interactions between parameters or usage examples. Baseline 3 is appropriate when schema does the heavy lifting.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the specific action ('Convert geographic coordinates to a human-readable address'), identifies the resource ('using Google Maps Geocoding API'), and distinguishes from siblings by specifying reverse geocoding (vs. forward geocoding or place geocoding).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage context (when coordinates need conversion to addresses) but does not explicitly state when to use this tool versus alternatives like 'geocode_forward' or 'geocode_place'. It lacks explicit guidance on exclusions or prerequisites.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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